Webinar: Using IdentityRAG with Customer Data for Enterprise LLM Applications  

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The API to unify scattered customer data in real-time

Data-driven companies use the Tilores API to create a unified customer view across all their source systems. They build real-time solutions to manage risk, uncover fraud, deliver personalized digital experiences, and power GenAI applications, without the engineering complexity.

  • Based on the use case we offer :

  • Analysis of up to 1 million data records

  • Setup a data cleansing and normalization pipeline

  • Setup custom data integrations with multiple sources

  • Reporting on potential data unification cost/revenue impact

  • A production ready data use case solution on our SaaS platform

Trusted by fast-growing, data-driven businesses

The
Challenge

Inconsistent, incomplete, and out-of-date customer data makes it hard to align, plan, and report across your business. Before businesses can make use of their customer data, first they need to standardise their schemas, then unify new and historic data.

Even then, building on top of unified customer data in a single centralised system often requires dedicated development resource. Instead, unified customer data should be synced back to each department’s source system, making each system a distributed source of truth. Only then can businesses effectively manage risk, uncover fraud, and better serve their customers.

SOLUTION

Customer 360 View

Turn scattered and siloed customer data into a unified Customer 360 view. Sync complete profiles to each department's source system to better serve customers, align internal teams, and inform product development.

Customer 360° view
Customer Risk Management

SOLUTION

Customer Risk Management

Detect fraud at account creation by querying a real-time stream of your unified customer data to match new sign-ups to existing customers or uncover their relationships with other account holders. 

SOLUTION

Retrieval-Augmented Generation (RAG)

Upgrade your LLM's performance by using realtime fuzzy search on your structured data, so it can retrieve accurate, relevant, and unified customer or company data, and respond to prompts with greater context. 

Entity RAG (Retrieval Augmented Generation)

Unify your scattered customer data in real-time

Scalable

Unify new and historical customer data, and build new use cases on top of it.

Automated

Sync unified customer data back to every source system without the engineering complexity or overheads.

Transparent

Query unified customer data with clear reasoning for each profile merge or relationship mapped.

Customer Story

How Banxware unified their scattered customer data to improve internal reporting, credit risk assessment and prevent fraud at sign-up.

99% decrease in time spent on manual customer credit decisions. 

Unify and build on top of your customer data in three steps

1. Connect your source systems

Connect your source systems using our globally distributed GraphQL API or prebuilt connectors like Salesforce, Hubspot or Snowflake. Before ingestion, all customer data is cleansed, normalised, and enriched to match a unified schema. Read Docs 

2. Unify your customer data

Unify your customer data and sync back to source systems. Understand the rationale behind unified records or relationship mapping, and adjust parameters to align with your business needs. Read Docs 

3. Report or build your data application

Each source system is up-to-date so internal departments can report and build on their customer data independently, without relying on a data analytics team or waiting for developer resource. Use Cases 

Get started with Tilores today

The API to unify scattered customer data in real-time.

The API to unify scattered customer data in real-time.

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